Anowarul Faruk Shishir
Experience
Lecturer
Department of Computer Science and Engineering
BGMEA University of Fashion & Technology (BUFT)
Former Lecturer Department of Computer Science and Engineering
Bangladesh University
Education
Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh
Bachelor of Science in Electronics and Communication Engineering
2019 - 2024 | CGPA: 3.78 out of 4.00 (3.84 after IEE Evaluation) | Position: 6th |
Coursework: Machine Learning, Digital Image Processing, Wireless Network, Database System and Management, Computer Networks, Biomedical Engineering, Digital Signal Processing
Publications
PriBan: A Benchmark Dataset and Modeling Framework for Privacy Preservation in Bengali Texts
ICCIT 2025 | 28th International Conference on Computer and Information Technology
- Developed a benchmark dataset and framework to preserve user privacy during interactions with large language models, addressing the tendency of LLMs to inadvertently leak sensitive information, with a specific focus on the Bangla language.
Ongoing Research Projects
Hierarchical Hybrid Workload Orchestration for Edge–Fog–Cloud CDN
In Progress
- Designing a multi-timescale forecasting and provisioning framework for CDN traffic using edge burst detection, fog-level mixture-of-experts forecasting, and cloud-assisted continual learning. Aims to reduce SLA violations, latency, and operational cost under non-stationary workloads.
Fast–Accurate Online Learning for Edge AI
In Progress
- Developing a lightweight online learning algorithm that bridges the speed–accuracy gap between OS-ELM and OR-ELM. Enables stable edge inference under drift and bursty workloads for Edge AI applications.
Thesis
Sentiment Analysis from a Bengali Dataset Using Hybrid Deep Learning and Contextualized Word Embedding Techniques
- Utilized contextualized Bangla BERT word embedding techniques to replace traditional methods (Word2Vec, GloVe, FastText) combined with a CNN-BiLSTM model, achieving 96.84% accuracy.
- Compared performance with 8 machine learning and 2 deep learning models, and introduced a feature for expressing sentiment with relative sentiment scores.
Undergraduate Projects
Intelligent Information Retrieval via Question Answering
Knowledge Graphs, Graph Neural Networks, Semantic Reasoning
- Explored intelligent information retrieval through question answering by leveraging knowledge graphs and graph neural networks. Incorporated structured semantic relationships and graph-based reasoning to challenge conventional models for improved accuracy and interpretability.
Accident Detection and Developing an Alert System Using Deep Learning
Deep Learning, Computer Vision, GPS Integration, Real-time Detection
- Developed a system to detect accidents from CCTV camera video footage with an integrated alert system. Incorporated GPS functionality to inform authorities about accident locations. Capable of detecting accidents from both live camera feeds and stored footage.
Pneumonia Detection from X-ray Images with Deep Learning
CNN, VGG-16, Transfer Learning, Medical Image Classification
- Built a conventional CNN model to accurately detect pneumonia from chest X-rays. Implemented and compared performance with pre-trained VGG-16 model to classify chest X-rays as normal or pneumonia-positive.
Language Translator using Seq2Seq Model
Encoder-Decoder, Seq2Seq, NLP, Machine Translation
- Designed a French-to-English language translator using an Encoder-Decoder seq2seq architecture. Performed extensive text preprocessing and cleaning to optimize translation accuracy.
Test Score
TOEFL (97)
- Reading- 25, Listening- 23, Speaking- 23, Writing- 26
Technical Skills and Interests
- Research Areas: Natural Language Processing, Cloud Computing, Data Science, Extended Reality
- Frameworks: ASP.NET
- Editor/IDE: Google Colab, Jupyter Notebook, Code Block, Visual Studio, Pycharm
- Database: SQL Server, MySQL
- Tools: NumPy, Pandas, Scikit-Learn,Keras, Matplotlib, Seaborn
- Hands-on: Cisco Packet Tracer
- Others: Problem Solving, Leadership, Management, Microsoft Office
Awards and Scholarships
Dean’s Award
- 2 times for outstanding academic performance.
HSC Board Scholarship
- From Education Board, Cumilla, Bangladesh.
SSC Board Scholarship
- From Education Board, Cumilla, Bangladesh.
References
Dr. Pallab Kumar Choudhury (Undergrad Thesis Supervisor)
Professor
Department of Electronics and Communication Engineering
Khulna University of Engineering & Technology
Mobile: +8801711031968
Email: pallab@ece.kuet.ac.bd
Mirza Mohd Shahriar Maswood (Undergraduate Course Instructor and Collaborator)
Assistant Professor
Department of Electronics and Communication Engineering
Khulna University of Engineering & Technology
Mobile: +1 (928) 310-5999
Email: shahriar@ece.kuet.ac.bd
Contacts
Email: anowarulfaruks@gmail.com
LinkedIn: Anowarul Faruk Shishir
Address: Mirpur, Dhaka-1216, Bangladesh